Agent Skills Hub

sage-mcp-protocol

Sage MCP protocol implementation for integrating external tool servers and standardized AI model context.

github-copilot-agent-tips-and-tricks

Guidance and operational tips for identifying, reviewing, and managing pull requests created by the GitHub Copilot coding agent within your repository.

with-context-agent

Lints, validates, and auto-fixes AI agent configuration files like SKILL.md, CLAUDE.md, and MCP configs.

markitdown

Convert diverse file formats like PDFs, Office docs, images, audio, and web content into clean Markdown, specifically optimized for LLM ingestion, RAG pipelines, and automated text analysis workflows.

crafting-effective-readmes

Streamline technical documentation by generating, updating, and refining README files. Tailors content for specific audiences including OSS contributors, internal teams, and personal projects.

whats-new

Automated generation of customer-facing App Store 'What's New' release notes by analyzing git commit history since the last version bump.

python-plan-optimization

6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).

french-claude

A design-focused coding agent that brings world-class interface craft, motion, and systematic front-end engineering to your development workflow.

session-investigator

Analyze and debug fast-agent session histories, tool execution logs, and conversation timing to resolve performance bottlenecks, tool loops, and unexpected session terminations.

qasai

A powerful CLI tool for image compression and conversion, supporting batch processing, multiple engines (mozjpeg, pngquant, sharp, etc.), format conversion (WebP, AVIF), and recursive directory optimization.

feishu-doc

Read, write, and manage Feishu (Lark) cloud documents. Supports markdown, block manipulation, tables, and media attachments.

clean-comments

Streamline your codebase by automatically removing redundant or obvious comments while preserving essential architectural and logic-focused documentation.